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Author Correction: Reliability of high-quantity human brain organoids for modeling microcephaly, glioma invasion and drug screening

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Nature communications 2025年第1期16卷 1366页

作者： Anand Ramani Giovanni Pasquini Niklas J Gerkau Vaibhav Jadhav Omkar Suhas Vinchure Nazlican Altinisik Hannes Windoffer Sarah Muller Ina Rothenaigner Sean Lin Aruljothi Mariappan Dhanasekaran Rathinam Ali Mirsaidi Olivier Goureau Lucia Ricci-Vitiani Quintino Giorgio D'Alessandris Bernd Wollnik Alysson Muotri Limor Freifeld Nathalie Jurisch-Yaksi Roberto Pallini Christine R Rose Volker Busskamp Elke Gabriel Kamyar Hadian Jay Gopalakrishnan Institute of Human Genetics University Hospital Friedrich-Schiller-Universität Jena 07740 Jena Germany. Department of Ophthalmology University Hospital Bonn Medical Faculty Bonn Germany. Institute of Neurobiology Faculty of Mathematics and Natural Sciences Heinrich-Heine-Universität 40225 Düsseldorf Germany. Research Unit Signaling and Translation Helmholtz Zentrum München 85764 Neuherberg Germany. Kugelmeiers Ltd Erlenbach Switzerland. Institut de la Vision Sorbonne Université INSERM CNRS F-75012 Paris France. Department of Oncology and Molecular Medicine Istituto Superiore di Sanità Viale Regina Elena 299 00161 Rome Italy. Department of Neuroscience Neurosurgery Section Università Cattolica del Sacro Cuore Rome Italy. Institute of Human Genetics University Medical Center Göttingen Göttingen Germany. University of California San Diego School of Medicine Department of Pediatrics/Rady Children's Hospital-San Diego San Diego USA. Department of Cellular & Molecular Medicine Stem Cell Program La Jolla CA 92093 MC 0695 USA. Department of Biomedical Engineering Technion-Israel Institute of Technology Haifa Israel. Department of Clinical and Molecular Medicine Faculty of Medicine and Health Sciences Norwegian University of Science and Technology Trondheim Norway. Institute of Human Genetics University Hospital Heinrich-Heine-Universität 40225 Düsseldorf Germany. Institute of Human Genetics University Hospital Friedrich-Schiller-Universität Jena 07740 Jena Germany. jay.gopalakrishnan@uni-jena.de.

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Genomic basis for RNA alterations in cancer (vol 578, pg 129, 2020)

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NATURE 2023年第7948期614卷 E37-E37页

作者： Calabrese, Claudia Davidson, Natalie R. Demircioglu, Deniz Fonseca, Nuno A. He, Yao Lehmann, Kjong-Van Liu, Fenglin Shiraishi, Yuichi Soulette, Cameron M. Urban, Lara Greger, Liliana Li, Siliang Liu, Dongbing Perry, Marc D. Xiang, Qian Zhang, Fan Zhang, Junjun Bailey, Peter Erkek, Serap Hoadley, Katherine A. Hou, Yong Huska, Matthew R. Kilpinen, Helena Korbel, Jan O. Marin, Maximillian G. Markowski, Julia Nandi, Tannistha Pan-Hammarstrom, Qiang Pedamallu, Chandra Sekhar Siebert, Reiner Stark, Stefan G. Su, Hong Tan, Patrick Waszak, Sebastian M. Yung, Christina Zhu, Shida Awadalla, Philip Creighton, Chad J. Meyerson, Matthew Ouellette, B. F. Francis Wu, Kui Yang, Huanming Brazma, Alvis Brooks, Angela N. Goke, Jonathan Ratsch, Gunnar Schwarz, Roland F. Stegle, Oliver Zhang, Zemin European Molecular Biology Laboratory European Bioinformatics Institute Hinxton UK European Molecular Biology Laboratory European Bioinformatics Institute (EMBL-EBI) Cambridge UK Genome Biology Unit European Molecular Biology Laboratory (EMBL) Heidelberg Germany CIBIO/InBIO - Research Center in Biodiversity and Genetic Resources Universidade do Porto Vairão Portugal Berlin Institute for Medical Systems Biology Max Delbruck Center for Molecular Medicine Berlin Germany German Cancer Consortium (DKTK) partner site Berlin Germany German Cancer Research Center (DKFZ) Heidelberg Germany Berlin Institute for Medical Systems Biology Max Delbrück Center for Molecular Medicine Berlin Germany German Cancer Consortium (DKTK) Partner site Berlin Berlin Germany European Molecular Biology Laboratory Genome Biology Unit Heidelberg Germany Division of Computational Genomics and Systems Genetics German Cancer Research Center (DKFZ) Heidelberg Germany ETH Zurich Zurich Switzerland Memorial Sloan Kettering Cancer Center New York NY USA Weill Cornell Medical College New York NY USA SIB Swiss Institute of Bioinformatics Lausanne Switzerland University Hospital Zurich Zurich Switzerland Computational Biology Center Memorial Sloan Kettering Cancer Center New York NY USA Department of Biology ETH Zurich Zürich Switzerland Department of Computer Science ETH Zurich Zurich Switzerland Korea University Seoul South Korea Computational and Systems Biology Program Memorial Sloan Kettering Cancer Center New York NY USA Department of Physiology and Biophysics Weill Cornell Medicine New York NY USA Institute for Computational Biomedicine Weill Cornell Medicine New York NY USA Controlled Department and Institution New York NY USA Englander Institute for Precision Medicine Weill Cornell Medicine New York NY USA National University of Singapore Singapore Singapore Genome Institute of Singapore Singapore Singapore Computational and Systems Biology Genome Institute of Singap

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AT 2019avd: A novel addition to the diverse population of nuclear transients

arXiv

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arXiv 2021年

作者： Malyali, Adam Rau, A. Merloni, A. Nandra, K. Buchner, J. Liu, Z. Gezari, S. Sollerman, J. Shappee, B. Trakhtenbrot, B. Arcavi, I. Ricci, C. van Velzen, S. Goobar, A. Frederick, S. Kawka, A. Tartaglia, L. Burke, J. Hiramatsu, D. Schramm, M. van der Boom, D. Anderson, G. Miller-Jones, J.C.A. Bellm, E. Drake, A. Duev, D. Fremling, C. Graham, M. Masci, F. Rusholme, B. Soumagnac, M. Walters, R. Max-Planck-Institut für Extraterrestrische Physik Giessenbachstrasse 1 Garching85748 Germany Department of Astronomy University of Maryland College ParkMD20742 United States Space Telescope Science Institute BaltimoreMD21218 United States Department of Astronomy The Oskar Klein Centre Stockholm University AlbaNova StockholmSE 10691 Sweden Institute for Astronomy University of Hawaii at Manoa 2680 Woodlawn Dr. HonoluluHI96822 United States The School of Physics and Astronomy Tel Aviv University Tel Aviv69978 Israel CIFAR Azrieli Global Scholars Program CIFAR Toronto Canada Núcleo de Astronomía de la Facultad de Ingeniería Universidad Diego Portales Av. Ejército Libertador 441 Santiago Chile Kavli Institute for Astronomy and Astrophysics Peking University Beijing100871 China Center for Cosmology and Particle Physics New York University NY10003 United States Leiden Observatory Leiden University PO Box 9513 Leiden2300 RA Netherlands The Oskar Klein Centre Department of Physics AlbaNova Stockholm University StockholmSE 10691 Sweden International Centre for Radio Astronomy Research Curtin University GPO Box U1987 PerthWA6845 Australia INAF Osservatorio Astronomico di Trieste Via G.B. Tiepolo 11 TriesteI-34143 Italy Department of Physics University of California Santa BarbaraCA93106-9530 United States Las Cumbres Observatory 6740 Cortona Dr Suite 102 GoletaCA93117-5575 United States Graduate School of Science and Engineering Saitama Univ. 255 Shimo-Okubo Sakura-ku Saitama City Saitama338-8570 Japan DIRAC Institute Department of Astronomy University of Washington 3910 15th Avenue NE SeattleWA98195 United States Division of Physics Mathematics and Astronomy California Institute of Technology PasadenaCA91125 United States IPAC California Institute of Technology 1200 E. California Boulevard PasadenaCA91125 United States Lawrence Berkeley National Laboratory 1 Cyclotron Road BerkeleyCA94720 United States Department o

We report on SRG/eROSITA, ZTF, ASAS-SN, Las Cumbres, NEOWISE-R, and Swift XRT/UVOT observations of the unique ongoing event AT 2019avd, located in the nucleus of a previously inactive galaxy at z = 0.029. eROSITA first observed AT 2019avd on 2020-04-28 during its first all sky survey, when it was detected as an ultra-soft X-ray source (kT ∼ 85 eV) that was 90 times brighter in the 0.2 − 2 keV band than a previous 3σ upper flux detection limit (with no archival X-ray detection at this position). The ZTF optical light curve in the ∼ 450 days preceding the eROSITA detection is double peaked, and the eROSITA detection coincides with the rise of the second peak. Follow-up optical spectroscopy shows the emergence of a Bowen fluorescence feature and high-ionisation coronal lines ([Fe x] 6375 Å, [Fe xiv] 5303 Å), along with persistent broad Balmer emission lines (FWHM∼ 1400 km s−1). Whilst the X-ray properties make AT 2019avd a promising tidal disruption event (TDE) candidate, the optical properties are atypical for optically selected TDEs. We discuss potential alternative origins that could explain the observed properties of AT 2019avd, such as a stellar binary TDE candidate, or a TDE involving a super massive black hole binary. © 2021, CC BY.

关键词： Optical properties

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Nearest neighbor permutation entropy detects phase transitions in complex high-pressure systems

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Scientific reports 2025年第1期15卷 1-11页

作者： Arthur A B Pessa Leonardo G J M Voltarelli Lúcio Cardozo-Filho Andres G M Tamara Claudio Dariva Papa M Ndiaye Matjaž Perc Haroldo V Ribeiro Departamento de Física Universidade Estadual de Maringá 87020-900 Maringá PR Brazil. aabpessa@uem.br. Departamento de Física Universidade Estadual de Maringá 87020-900 Maringá PR Brazil. School of Engineering Sao Paulo State University (UNESP) Campus of Sao Joao da Boa Vista Sao Joao da Boa Vista SP 13876-750 Brazil. Programa de Engenharia Química / COPPE Universidade Federal do Rio de Janeiro Cidade Universitária CP: 68502 Rio de Janeiro RJ 21941-972 Brazil. Graduate Program in Chemical Engineering State University of Maringa Av. Colombo 5790 Maringa Brazil. Center for Studies on Colloidal Systems (NUESC) Institute of Technology and Research (ITP) Av. Murilo Dantas 300 Farolândia Aracaju SE Brazil. Faculty of Natural Sciences and Mathematics University of Maribor Koroška cesta 160 2000 Maribor Slovenia. matjaz.perc@***. Community Healthcare Center Dr. Adolf Drolc Maribor Ulica talcev 9 2000 Maribor Slovenia. matjaz.perc@***. Department of Physics Kyung Hee University 26 Kyungheedae-ro Dongdaemun-gu 02447 Seoul Republic of Korea. matjaz.perc@***. Complexity Science Hub Metternichgasse 8 1030 Vienna Austria. matjaz.perc@***. University College Korea University 145 Anam-ro Seongbuk-gu 02841 Seoul Republic of Korea. matjaz.perc@***. Departamento de Física Universidade Estadual de Maringá 87020-900 Maringá PR Brazil. hvr@dfi.uem.br.

Understanding the high-pressure phase behavior of carbon dioxide-hydrocarbon mixtures is of considerable interest owing to their wide range of applications. Under certain conditions, these systems are not amenable to direct visual monitoring, and experimentalists often rely on spectrophotometric data to infer phase behavior. Consequently, developing computationally efficient and robust methods to leverage such data is crucial. Here, we combine nearest neighbor permutation entropy, computed directly from in situ near-infrared absorbance spectra acquired during depressurization trials of mixtures of carbon dioxide and a distilled petroleum fraction, with an anomaly detection approach to identify phase transitions. We show that changes in nearest neighbor entropy effectively signal transitions from initially homogeneous mixtures to two-phase equilibria, thereby enabling accurate out-of-sample online predictions of transition pressures. Our approach requires minimum data preprocessing, no specialized detection techniques or visual inspection of the spectra, and is sufficiently general to be adapted for studying phase behavior in other high-pressure systems monitored via spectrophotometry.

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Jet modification via π0-hadron correlations in Au+Au collisions at sNN=200 GeV

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Physical Review C 2024年第4期110卷 044901页

作者： N. J. Abdulameer U. Acharya A. Adare S. Afanasiev C. Aidala N. N. Ajitanand Y. Akiba H. Al-Bataineh J. Alexander M. Alfred K. Aoki N. Apadula L. Aphecetche J. Asai H. Asano E. T. Atomssa R. Averbeck T. C. Awes B. Azmoun V. Babintsev M. Bai G. Baksay L. Baksay A. Baldisseri N. S. Bandara B. Bannier K. N. Barish P. D. Barnes B. Bassalleck A. T. Basye S. Bathe S. Batsouli V. Baublis C. Baumann A. Bazilevsky M. Beaumier S. Beckman S. Belikov R. Belmont R. Bennett A. Berdnikov Y. Berdnikov L. Bichon A. A. Bickley B. Blankenship D. S. Blau J. G. Boissevain J. S. Bok H. Borel V. Borisov K. Boyle M. L. Brooks J. Bryslawskyj H. Buesching V. Bumazhnov G. Bunce S. Butsyk C. M. Camacho S. Campbell B. S. Chang W. C. Chang J. L. Charvet C.-H. Chen D. Chen S. Chernichenko M. Chiu C. Y. Chi I. J. Choi J. B. Choi R. K. Choudhury T. Chujo P. Chung A. Churyn V. Cianciolo Z. Citron B. A. Cole M. Connors P. Constantin R. Corliss M. Csanád T. Csörgő D. d'Enterria T. Dahms S. Dairaku T. W. Danley K. Das A. Datta M. S. Daugherity G. David K. DeBlasio K. Dehmelt A. Denisov A. Deshpande E. J. Desmond O. Dietzsch A. Dion P. B. Diss M. Donadelli V. Doomra J. H. Do O. Drapier A. Drees K. A. Drees A. K. Dubey J. M. Durham A. Durum D. Dutta V. Dzhordzhadze Y. V. Efremenko F. Ellinghaus H. En'yo T. Engelmore A. Enokizono R. Esha K. O. Eyser B. Fadem N. Feege D. E. Fields M. Finger, Jr. M. Finger D. Firak D. Fitzgerald F. Fleuret S. L. Fokin Z. Fraenkel J. E. Frantz A. Franz A. D. Frawley K. Fujiwara Y. Fukao T. Fusayasu P. Gallus C. Gal P. Garg I. Garishvili H. Ge F. Giordano A. Glenn H. Gong M. Gonin J. Gosset Y. Goto R. Granier de Cassagnac N. Grau S. V. Greene M. Grosse Perdekamp T. Gunji T. Guo H.-Å. Gustafsson T. Hachiya A. Hadj Henni J. S. Haggerty K. I. Hahn H. Hamagaki H. F. Hamilton J. Hanks R. Han S. Y. Han E. P. Hartouni K. Haruna S. Hasegawa T. O. S. Haseler K. Hashimoto E. Haslum R. Hayano M. Heffner T. K. Hemmick T. Hester X. He J. C. Hill A. Hodges M. Hohlmann R. S. Hollis W. Holzmann K. Homma B. Hong T. Horaguchi D. Hornback T. Debrecen University H-4010 Debrecen Egyetem tér 1 Hungary HUN-REN ATOMKI H-4026 Debrecen Bem tér 18/c Hungary Atlanta Georgia 30303 USA University of Colorado Boulder Colorado 80309 USA Joint Institute for Nuclear Research 141980 Dubna Moscow Region Russia Department of Physics University of Massachusetts Amherst Massachusetts 01003-9337 USA Department of Physics University of Michigan Ann Arbor Michigan 48109-1040 USA Chemistry Department Stony Brook University SUNY Stony Brook New York 11794-3400 USA RIKEN Nishina Center for Accelerator-Based Science Wako Saitama 351-0198 Japan RIKEN BNL Research Center New Mexico State University Las Cruces New Mexico 88003 USA Department of Physics and Astronomy Howard University Washington DC 20059 USA KEK High Energy Accelerator Research Organization Tsukuba Ibaraki 305-0801 Japan Kyoto University Kyoto 606-8502 Japan Iowa State University Ames Iowa 50011 USA Department of Physics and Astronomy Stony Brook University SUNY Stony Brook New York 11794-3800 USA SUBATECH (Ecole des Mines de Nantes CNRS-IN2P3 Université de Nantes) BP 20722-44307 Nantes France Laboratoire Leprince-Ringuet Ecole Polytechnique CNRS-IN2P3 Route de Saclay F-91128 Palaiseau France Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA Physics Department IHEP Protvino State Research Center of Russian Federation Institute for High Energy Physics Protvino 142281 Russia Collider-Accelerator Department Florida Institute of Technology Melbourne Florida 32901 USA Dapnia CEA Saclay F-91191 Gif-sur-Yvette France University of California-Riverside Riverside California 92521 USA Los Alamos National Laboratory Los Alamos New Mexico 87545 USA University of New Mexico Albuquerque New Mexico 87131 USA Abilene Christian University Abilene Texas 79699 USA Baruch College City University of New York New York New York 10010 USA PNPI Petersburg Nuclear Physics Institute Gatchina Leningrad region 188300 Russia Institut für

High-momentum two-particle correlations are a useful tool for studying jet-quenching effects in the quark-gluon plasma. Angular correlations between neutral-pion triggers and charged hadrons with transverse momenta in the range 4–12 GeV/c and 0.5–7 GeV/c, respectively, have been measured by the PHENIX experiment in 2014 for Au+Au collisions at sNN=200 GeV. Suppression is observed in the yield of high-momentum jet fragments opposite the trigger particle, which indicates jet suppression stemming from in-medium partonic energy loss, while enhancement is observed for low-momentum particles. The ratio and differences between the yield in Au+Au collisions and p+p collisions, IAA and ΔAA, as a function of the trigger-hadron azimuthal separation, Δϕ, are measured for the first time at the BNL Relativistic Heavy Ion Collider. These results better quantify how the yield of low-pT associated hadrons is enhanced at wide angle, which is crucial for studying energy loss as well as medium-response effects.

关键词： Particle correlations & fluctuations Relativistic heavy-ion collisions Hadrons Pions Hadron colliders

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End-to-end symmetry preserving inter-atomic potential energy model for finite and extended systems

arXiv

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arXiv 2018年

作者： Zhang, Linfeng Han, Jiequn Wang, Han Saidi, Wissam A. Car, Roberto Weinan, E. Program in Applied and Computational Mathematics Princeton University United States Institute of Applied Physics and Computational Mathematics China CAEP Software Center for High Performance Numerical Simulation China Department of Mechanical Engineering and Materials Science University of Pittsburgh United States Department of Chemistry and Department of Physics Princeton University United States Princeton Institute for the Science and Technology of Materials Princeton University United States Department of Mathematics Princeton University United States Beijing Institute of Big Data Research China

Machine learning models are changing the paradigm of molecular modeling, which is a fundamental tool for material science, chemistry, and computational biology. Of particular interest is the inter-atomic potential energy surface (PES). Here we develop Deep Potential - Smooth Edition (DeepPot-SE), an end-to-end machine learning-based PES model, which is able to efficiently represent the PES of a wide variety of systems with the accuracy of ab initio quantum mechanics models. By construction, DeepPot-SE is extensive and continuously differentiable, scales linearly with system size, and preserves all the natural symmetries of the system. Further, we show that DeepPot-SE describes finite and extended systems including organic molecules, metals, semiconductors, and insulators with high fidelity. Copyright © 2018, The Authors. All rights reserved.

关键词： Potential energy

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Search for Gravitational Waves Associated with Fast Radio Bursts Detected by CHIME/FRB during the LIGO-Virgo Observing Run O3a

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Astrophysical Journal 2023年第2期955卷 155-155页

作者： Abbott, R. Abbott, T.D. Acernese, F. Ackley, K. Adams, C. Adhikari, N. Adhikari, R.X. Adya, V.B. Affeldt, C. Agarwal, D. Agathos, M. Agatsuma, K. Aggarwal, N. Aguiar, O.D. Aiello, L. Ain, A. Ajith, P. Akutsu, T. Albanesi, S. Allocca, A. Altin, P.A. Amato, A. Anand, C. Anand, S. Ananyeva, A. Anderson, S.B. Anderson, W.G. Ando, M. Andrade, T. Andres, N. Andrić, T. Angelova, S.V. Ansoldi, S. Antelis, J.M. Antier, S. Appert, S. Arai, Koya Arai, Y. Araki, S. Araya, A. Araya, M.C. Areeda, J.S. Arène, M. Aritomi, N. Arnaud, N. Aronson, S.M. Arun, K.G. Asada, H. Asali, Y. Ashton, G. Aso, Y. Assiduo, M. Aston, S.M. Astone, P. Aubin, F. Austin, C. Babak, S. Badaracco, F. Bader, M.K.M. Badger, C. Bae, S. Bae, Y. Baer, A.M. Bagnasco, S. Bai, Y. Baiotti, L. Baird, J. Bajpai, R. Ball, M. Ballardin, G. Ballmer, S.W. Balsamo, A. Baltus, G. Banagiri, S. Bankar, D. Barayoga, J.C. Barbieri, C. Barish, B.C. Barker, D. Barneo, P. Barone, F. Barr, B. Barsotti, L. Barsuglia, M. Barta, D. Bartlett, J. Barton, M.A. Bartos, I. Bassiri, R. Basti, A. Bawaj, M. Bayley, J.C. Baylor, A.C. Bazzan, M. Bécsy, B. Bedakihale, V.M. Bejger, M. Belahcene, I. Benedetto, V. Beniwal, D. Bennett, T.F. Bentley, J.D. BenYaala, M. Bergamin, F. Berger, B.K. Bernuzzi, S. Berry, C.P.L. Bersanetti, D. Bertolini, A. Betzwieser, J. Beveridge, D. Bhandare, R. Bhardwaj, U. Bhattacharjee, D. Bhaumik, S. Bilenko, I.A. Billingsley, G. Bini, S. Birney, R. Birnholtz, O. Biscans, S. Bischi, M. Biscoveanu, S. Bisht, A. Biswas, B. Bitossi, M. Bizouard, M.-A. Blackburn, J.K. Blair, C.D. Blair, D.G. Blair, R.M. Bobba, F. Bode, N. Boer, M. Bogaert, G. Boldrini, M. Bonavena, L.D. Bondu, F. Bonilla, E. Bonnand, R. Booker, P. Boom, B.A. Bork, R. Boschi, V. Bose, N. Bose, S. Bossilkov, V. Boudart, V. Bouffanais, Y. Boumerdassi, A. Bozzi, A. Bradaschia, C. Brady, P.R. Bramley, A. Branch, A. Branchesi, M. Brau, J.E. Breschi, M. Briant, T. Briggs, J.H. Brillet, A. Brinkmann, M. Brockill, P. Brooks, A.F. Brooks, J. Brown, D.D. Brunett, S. Bruno, G. Bruntz, R. Bryant, J. Buchanan, J. B LIGO Laboratory California Institute of Technology Pasadena 91125 CA United States Louisiana State University Baton Rouge 70803 LA United States Dipartimento di Farmacia Università di Salerno Fisciano Salerno I-84084 Italy INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo Napoli I-80126 Italy OzGrav School of Physics & Astronomy Monash University Clayton 3800 VIC Australia LIGO Livingston Observatory Livingston 70754 LA United States University of Wisconsin-Milwaukee Milwaukee 53201 WI United States OzGrav Australian National University Canberra 0200 ACT Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) Hannover D-30167 Germany Leibniz Universität Hannover Hannover D-30167 Germany Inter-University Centre for Astronomy and Astrophysics Pune 411007 India University of Cambridge Cambridge CB2 1TN United Kingdom Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena Jena D-07743 Germany University of Birmingham Birmingham B15 2TT United Kingdom Center for Interdisciplinary Exploration & Research in Astrophysics (CIERA) Northwestern University Evanston 60208 IL United States Instituto Nacional de Pesquisas Espaciais São Paulo São José dos Campos 12227-010 Brazil Gravity Exploration Institute Cardiff University Cardiff CF24 3AA United Kingdom INFN Sezione di Pisa Pisa I-56127 Italy International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bengaluru 560089 India Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan INFN Sezione di Torino Torino I-10125 Italy Università di Napoli “Federico II Complesso Universitario di Monte S. Angelo Napoli I-80126 Italy Université de Lyon Université Claude Bernard Lyon 1 CNRS Institut Lumière Matière Villeurbanne F-69622

We search for gravitational-wave (GW) transients associated with fast radio bursts (FRBs) detected by the Canadian Hydrogen Intensity Mapping Experiment Fast Radio Burst Project, during the first part of the third observing run of Advanced LIGO and Advanced Virgo (2019 April 1 15:00 UTC-2019 October 1 15:00 UTC). Triggers from 22 FRBs were analyzed with a search that targets both binary neutron star (BNS) and neutron star-black hole (NSBH) mergers. A targeted search for generic GW transients was conducted on 40 FRBs. We find no significant evidence for a GW association in either search. Given the large uncertainties in the distances of our FRB sample, we are unable to exclude the possibility of a GW association. Assessing the volumetric event rates of both FRB and binary mergers, an association is limited to 15% of the FRB population for BNS mergers or 1% for NSBH mergers. We report 90% confidence lower bounds on the distance to each FRB for a range of GW progenitor models and set upper limits on the energy emitted through GWs for a range of emission scenarios. We find values of order 10⁵¹-10⁵⁷ erg for models with central GW frequencies in the range 70-3560 Hz. At the sensitivity of this search, we find these limits to be above the predicted GW emissions for the models considered. We also find no significant coincident detection of GWs with the repeater, FRB 20200120E, which is the closest known extragalactic FRB. © 2023. The Author(s). Published by the American Astronomical Society.

关键词： Gravitational wave astronomy Radio transient sources

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Placing digital badges and micro-credentials in context

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Journal of Electronic Resources Librarianship 2017年第4期29卷 206-210页

作者： LaMagna, Michael Learning Commons Information Literacy Program & Library Services Coordinator Associate Professor & Reference Librarian Liaison for Science Technology Engineering & Mathematics (STEM) Delaware County Community College 901 S. Media Line Road Media 19063 PA United States

There is an increased focus on the use of stackable micro-credentials in education including the use of digital badges. These micro-credentials allow for students to learn specific skills or gain knowledge in focused areas of study. Stacking these micro-credentials together, students can demonstrate what they have learned. Understanding how micro-credentials and specifically digital badges are being used is important for libraries as they work to demonstrate their value as increased pressure continues to be applied from all sides. © 2017 The Author(s). Published with license by Taylor & Francis © 2017, © Michael LaMagna.

关键词： Digital badges higher education libraries micro-credentials

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Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

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Nature Communications 2025年第1期16卷 1-20页

作者： Maximilian Zenk David Zimmerer Fabian Isensee Santhosh Parampottupadam Kaushal Parekh Ralf Floca Philipp Vollmuth Klaus Maier-Hein Wolfgang Wick Ujjwal Baid Sarthak Pati Akis Linardos Spyridon Bakas Bhakti Baheti Siddhesh Thakur Micah Sheller Alejandro Aristizabal Hasan Kassem Peter Mattson Alexandros Karargyris Brandon Edwards Patrick Foley Alexey Gruzdev Jason Martin Prashant Shah Russell T. Shinohara Chiharu Sako Michel Bilello Suyash Mohan Christos Davatzikos Gaurav Shukla Annika Reinke Lena Maier-Hein Verena Chung Jake Albrecht Kaisar Kushibar Karim Lekadir Meirui Jiang Quande Liu Cheng Chen Qi Dou Pheng-Ann Heng Youtan Yin Hongzheng Yang Xiaofan Zhang Shaoting Zhang Muhammad Irfan Khan Mojtaba Jafaritadi Esa Alhoniemi Elina Kontio Mohammad Ayyaz Azeem Suleiman A. Khan Leon Mächler Ivan Ezhov Florian Kofler Suprosanna Shit Timo Loehr Bjoern Menze Benedikt Wiestler Hongwei Li Johannes C. Paetzold Himashi Peiris Kamlesh Pawar Shenjun Zhong Zhaolin Chen Gary Egan Mehrtash Harandi Munawar Hayat Ece Isik Polat Gorkem Polat Altan Kocyigit Alptekin Temizel Anup Tuladhar Raissa Souza Nils D. Forkert Pauline Mouches Matthias Wilms Lakshay Tyagi Vishruth Shambhat Shubham Subhas Danannavar Rohit Kalla Vikas Kumar Anand Ganapathy Krishnamurthi Akansh Maurya Sahil Nalawade Chandan Ganesh Ben Wagner Divya Reddy Yudhajit Das Fang F. Yu Ananth J. Madhuranthakam Joseph Maldjian Marco C. Pinho James Holcomb Baowei Fei Gaurav Singh Jianxun Ren Wei Zhang Ning An Youjia Zhang Ying Zhou Qingyu Hu Vasilis Siomos Giacomo Tarroni Jonathan Passerrat-Palmbach Ambrish Rawat Giulio Zizzo Swanand Ravindra Kadhe Jonathan P. Epperlein Stefano Braghin Yuan Wang Renuga Kanagavelu Qingsong Wei Yechao Yang Yong Liu Krzysztof Kotowski Szymon Adamski Bartosz Machura Wojciech Malara Jakub Nalepa Lukasz Zarudzki Yaying Shi Yonghong Yan Hongjian Gao Salman Avestimehr Agus S. Akbar Ekaterina Kondrateva Hua Yang Zhaopei Li Hung-Yu Wu Johannes Roth Camillo Saueressig Alexandre Milesi Michal Futrega Quoc D. Nguyen Nathan J. Gruenhagen Tsung-Ming Huang German Cancer Research Center (DKFZ) Heidelberg Division of Medical Image Computing Heidelberg Germany Medical Faculty Heidelberg Heidelberg University Heidelberg Germany Helmholtz Imaging German Cancer Research Center (DKFZ) Heidelberg Germany Division for Computational Radiology & Clinical AI University Hospital Bonn Bonn Germany Faculty of Medicine University of Bonn Bonn Germany Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Heidelberg Germany Neurology Clinic Heidelberg University Hospital Heidelberg Germany Center for Federated Learning in Medicine Indiana University Indianapolis IN USA Division of Computational Pathology Department of Pathology and Laboratory Medicine Indiana University School of Medicine Indianapolis IN USA Medical Research Group MLCommons San Francisco CA USA Indiana University Melvin and Bren Simon Comprehensive Cancer Center Indianapolis IN USA Department of Radiology and Imaging Sciences Indiana University School of Medicine Indianapolis IN USA Department of Neurological Surgery Indiana University School of Medicine Indianapolis IN USA Department of Computer Science Luddy School of Informatics Computing and Engineering Indiana University Indianapolis IN USA Intel Corporation Santa Clara CA USA Factored Palo Alto CA USA Center for AI and Data Science for Integrated Diagnostics (AI2D) University of Pennsylvania Philadelphia PA USA Department of Biostatistics Epidemiology and Informatics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Penn Statistics in Imaging and Visualization Center Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Department of Radiology Perelman School of Medicine at the University of Pennsylvania Philadelphia PA USA Department of Radiation Oncology Christiana Care Health System Philadelphia PA USA Department of Radiation Oncology Sidney Kimmel Comprehensive Cancer Center Thomas J

Computational competitions are the standard for benchmarking medical image analysis algorithms, but they typically use small curated test datasets acquired at a few centers, leaving a gap to the reality of diverse multicentric patient data. To this end, the Federated Tumor Segmentation (FeTS) Challenge represents the paradigm for real-world algorithmic performance evaluation. The FeTS challenge is a competition to benchmark (i) federated learning aggregation algorithms and (ii) state-of-the-art segmentation algorithms, across multiple international sites. Weight aggregation and client selection techniques were compared using a multicentric brain tumor dataset in realistic federated learning simulations, yielding benefits for adaptive weight aggregation, and efficiency gains through client sampling. Quantitative performance evaluation of state-of-the-art segmentation algorithms on data distributed internationally across 32 institutions yielded good generalization on average, albeit the worst-case performance revealed data-specific modes of failure. Similar multi-site setups can help validate the real-world utility of healthcare AI algorithms in the future.

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Genetic variant analysis of boys with Autism: A pilot study on linking facial phenotype to genotype

Genetic variant analysis of boys with Autism: A pilot study ...

引用

2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017

作者： Obafemi-Ajayi, Tayo Settles, Luke Su, Yuqing Germeroth, Cynthia Olbricht, Gayla R. Wunsch, Donald C. Takahashi, T. Nicole Miles, Judith Engineering Program Missouri State University Springfield MO United States Mathematics and Statistics Dept. Missouri University of Science and Technology RollaMO United States Information Technology Missouri University of Science and Technology RollaMO United States Electrical and Computer Eng. Dept. Missouri University of Science and Technology RollaMO United States Thompson Center for Autism and Neurodevelopmental Disorders ColumbiaMO United States

ISBN: (纸本)9781509030491

This work examines the validity of facial phenotypes as Autism Spectrum Disorders (ASD) biomarkers in boys with essential autism. A family-based association analysis framework is presented that uses previously identified facially-delineated (FD) clusters to examine relationship between FD clusters and known ASD genes. The hypothesis is that there are certain genetic variants, single nucleotide polymorphisms (SNP), specific to the FD clusters. Although statistical significance was not established, the results identified some candidate SNPs unique to each of the FD clusters that could indicate an underlying etiological difference. Further, recommendations are provided for larger-scale studies that could utilize the analysis framework presented. © 2017 IEEE.

关键词： Biomarkers

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